Data Scientist

Company:
Location: Bengaluru, Karnataka

*** Mention DataYoshi when applying ***

Company Overview

largest publicly held personal lines property and casualty insurer in the United States.


  • Develops and implements predictive models using statistics/machine learning techniques for solving different business problems
  • Identifies data driven insights and actionable recommendations to influence business decisions by effectively communicating modeling concepts and results across functional groups
  • Develops analytic “story” and visual presentation strategies to ensure data is conveyed in meaningful and interpretive formats for all audience levels.
  • Analyzes structured and unstructured data from a number of sources to identify drivers
  • Reviews results, identifies variances to planned performance, analyzes causes of variance and make actionable recommendations to frontline leaders

Requirements

  • Proficiency in open data science tool kits, like R, Python is a must
  • Experience analyzing third party and syndicated data for benchmarking
  • Experience with Microsoft Office Suite (Excel, PowerPoint)
  • Strong oral communication, administrative and business writing skills
  • Advanced time management skills including ability to handle multiple projects, prioritize and organize
  • Experience Telematics, Cognitive Computing, Deep Learning, NLP, Image Analytics will be strongly preferred
  • Experience in solving problems across function like Claims, Pricing, Customer Analytics or Life, P&C LoBs will be preferred
  • Proficiency in distributed computing tools like MapReduce/ MPI (Cosmos/ Hadoop/ Spark/ Hive etc) is a plus
  • Exposure to Big Data Ecosystem (HADOOP, PIG, HIVE, PYTHON, SPARK etc) would be a plus

Additional Information

Primary Skills
  • Bachelors or Masters/MBA degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research or related field) and 2-4 years of related experience
  • Experience with leading/mentoring a team in the areas of technology as well as problem solving is a plus
  • Experience with descriptive statistics and exploratory data analysis
  • Experience with inferential and predictive statistics (hypothesis testing, confidence intervals, regression, time series, decision trees, clustering and classification, text mining)
  • Performs and evaluates trend analysis using basic mathematical concepts, formulas, models, techniques

*** Mention DataYoshi when applying ***

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